How to Merge & Transpose Data in R | Step-by-Step Tutorial
Hi everyone! I'm Sylvia, and welcome to Skillset Studio! In today's video, I'll show you how to merge and transpose data in R with a step-by-step guide. Whether you’re a beginner or looking to refine your R skills, this tutorial will teach you how to combine multiple datasets, clean them, and format the data for easier analysis.
In this video, we'll cover:
Loading data from an Excel file using the readxl package.
Merging datasets with the merge() function.
Transposing data and converting it back into a clean dataframe.
Reorganizing rows and columns for a more readable structure.
Formatting date columns and numbers (with the as.Date() and scales packages).
Saving the cleaned dataset to a new Excel file with writexl.
Step-by-Step R Commands:
readxl package for reading Excel files
merge() function for merging datasets
t() function for transposing data
as.data.frame() to convert the matrix into a dataframe
cbind() for adding row names into a column
as.Date() for formatting dates
scales::dollar() for formatting numeric values as currency
writexl package for saving data to Excel
If you found this tutorial helpful, don’t forget to like, comment, and subscribe to Skillset Studio for more R tutorials and data analysis tips!
#RProgramming #DataScience #RDataManipulation #DataCleaning #RForBeginners #ExcelDataAnalysis #DataAnalysis #RTips #SkillsetStudio
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